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Risk Estimations, Risk Factors, and Genetic Variants Associated with Alzheimer's Disease in Selected Publications from the Framingham Heart Study

Overview of attention for article published in Journal of Alzheimer's Disease, January 2013
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Title
Risk Estimations, Risk Factors, and Genetic Variants Associated with Alzheimer's Disease in Selected Publications from the Framingham Heart Study
Published in
Journal of Alzheimer's Disease, January 2013
DOI 10.3233/jad-2012-129040
Pubmed ID
Authors

Galit Weinstein, Philip A. Wolf, Alexa S. Beiser, Rhoda Au, Sudha Seshadri

Abstract

The study of Alzheimer's disease (AD) in the Framingham Heart Study (FHS), a multi-generational, community-based population study, began nearly four decades ago. In this overview, we highlight findings from seven prior publications that examined lifetime risk estimates for AD, environmental risk factors for AD, circulating and imaging markers of aging-related brain injury, and explorations on the genetics underlying AD. First, we describe estimations of the lifetime risk of AD. These estimates are distinguished from other measures of disease burden and have substantial public health implications. We then describe prospective studies of environmental AD risk factors: one examined the association between plasma levels of omega-3 fatty-acid and risk of incident AD, the other explored the association of diabetes to this risk in subsamples with specific characteristics. With evidence of inflammation as an underlying mechanism, we also describe findings from a study that compared the effects of serum cytokines and spontaneous production of peripheral blood mononuclear cell cytokines on AD risk. Investigating AD related endophenotypes increases sensitivity in identifying risk factors and can be used to explore pathophysiologic pathways between a risk factor and the disease. We describe findings of an association between large volume of white matter hyperintensities and a specific pattern of cognitive deficits in non-demented participants. Finally, we summarize our findings from two genetic studies: The first used genome-wide association (GWA) and family-based association methods to explore the genetic basis of cognitive and structural brain traits. The second is a large meta-analysis GWA study of AD, in which novel loci of AD susceptibility were found. Together, these findings demonstrate the FHS multi-directional efforts in investigating dementia and AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Master 8 12%
Other 7 10%
Student > Bachelor 6 9%
Student > Postgraduate 6 9%
Other 12 17%
Unknown 16 23%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Agricultural and Biological Sciences 10 14%
Psychology 6 9%
Neuroscience 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 6 9%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2019.
All research outputs
#16,051,091
of 25,377,790 outputs
Outputs from Journal of Alzheimer's Disease
#6,485
of 7,452 outputs
Outputs of similar age
#180,271
of 289,014 outputs
Outputs of similar age from Journal of Alzheimer's Disease
#139
of 185 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 289,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.